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Keywords = sweet corn

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15 pages, 3801 KB  
Article
Burkholderia gladioli Causing Brown Spot on Leaf Sheath of Sweet Corn (Zea mays L.) in Sinaloa, Mexico: An Emerging Disease
by Rubén Félix-Gastelum, Jesús Ramon Escalante-Castro, Karla Yeriana Leyva-Madrigal, Ignacio Eduardo Maldonado-Mendoza and Gabriel Herrera-Rodríguez
Agriculture 2026, 16(9), 948; https://doi.org/10.3390/agriculture16090948 (registering DOI) - 25 Apr 2026
Abstract
Brown spot on the leaf sheath is an emerging disease of sweet corn (Zea mays L.) in Sinaloa, Mexico, with an unknown etiology. This study aimed to identify the causal agent of the disease and assess its pathogenicity on commercial sweet corn [...] Read more.
Brown spot on the leaf sheath is an emerging disease of sweet corn (Zea mays L.) in Sinaloa, Mexico, with an unknown etiology. This study aimed to identify the causal agent of the disease and assess its pathogenicity on commercial sweet corn hybrids. Bacterial strains were isolated from symptomatic leaf sheaths collected from commercial fields. Identification was performed through biochemical profiling (API 50CHB/E), pathogenicity tests on alternative hosts (potato, onion, celery), and molecular analysis (16S rRNA and recA genes sequencing and phylogenetic reconstruction). Pathogenicity and virulence were confirmed by inoculating four sweet corn hybrids in a greenhouse. The strains were Gram-negative rods, identified as Burkholderia gladioli based on biochemical profiles and molecular data (99% 16S rRNA+ recA similarity; phylogenetic clustering within the B. gladioli clade). In greenhouse trials, the strains induced brown spot lesions on the leaf sheaths of all tested hybrids, replicating field symptoms fulfilling Koch’s postulates. This is the first report of B. gladioli as the causal agent of brown spot on the leaf sheath of sweet corn in Mexico. The pathogen’s broad host range highlights its potential as an emerging threat to horticultural crops in the region. Full article
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16 pages, 851 KB  
Article
Effects of Replacing Corn Stover Silage with Sweet Sorghum Silage on Dry Matter Intake, Fibre Digestibility, and Milk Composition in Thai Holstein Crossbred Dairy Cows
by Norakamol Laorodphan, Thanatsan Poonpaiboonpipat, Tossaporn Incharoen, Suban Foiklang, Anusorn Cherdthong, Paiboon Panase, Nattapat Chaporton and Payungsuk Intawicha
Ruminants 2026, 6(2), 27; https://doi.org/10.3390/ruminants6020027 - 24 Apr 2026
Abstract
Milk production in tropical smallholder systems is constrained by limited high-quality roughage during the hot–dry season. Sweet sorghum silage is drought-tolerant and may replace corn stover silage. Twelve Holstein–Friesian crossbred cows were assigned to the same commercial concentrate plus either corn stover silage [...] Read more.
Milk production in tropical smallholder systems is constrained by limited high-quality roughage during the hot–dry season. Sweet sorghum silage is drought-tolerant and may replace corn stover silage. Twelve Holstein–Friesian crossbred cows were assigned to the same commercial concentrate plus either corn stover silage or sweet sorghum silage as the primary roughage source (n = 6 per diet). Intake, apparent digestibility, milk yield and composition, and feed-use efficiency were evaluated on day 15 and 30 and analyzed using linear mixed-effects models with cow as a random effect. Compared with corn stover silage, sweet sorghum silage increased dry matter intake (p < 0.05) and improved the digestibility of fibre fractions, including crude fibre, NDF and ADF (p ≤ 0.003), while crude protein- and nitrogen-free extract digestibility were not different (p > 0.05). Milk yield, 4% fat-corrected milk, energy-corrected milk, and feed-use efficiency indices were unaffected by silage source (p > 0.05). Milk protein concentration was higher with sweet sorghum silage (treatment effect p < 0.05), whereas milk fat and lactose were unchanged. Sweet sorghum silage can therefore replace corn stover silage in tropical dairy diets, improving intake and fibre utilization without compromising milk output. Full article
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18 pages, 296 KB  
Article
Influence of Sweet Sorghum Silage and Slow-Release Urea on Lamb Meat Quality and Fatty Acid Profiles
by Mingxing Shao, Ziheng Zhang, Rui Li, Liya Zhu, Lanlan Ding, Qing Zhang and Bo Wang
Foods 2026, 15(9), 1463; https://doi.org/10.3390/foods15091463 - 22 Apr 2026
Viewed by 189
Abstract
This study investigated the interactive effects of silage type (corn silage, CS vs. sweet sorghum silage, SS) and nitrogen source (soybean meal, SM vs. slow-release urea, SRU) on lamb meat quality. Results indicated that silage type minimally affected basic chemical composition, although CS-fed [...] Read more.
This study investigated the interactive effects of silage type (corn silage, CS vs. sweet sorghum silage, SS) and nitrogen source (soybean meal, SM vs. slow-release urea, SRU) on lamb meat quality. Results indicated that silage type minimally affected basic chemical composition, although CS-fed lambs exhibited higher ether extract content. Compared to CS, the SS group displayed higher redness (a*) and enhanced antioxidant capacity. SRU improved meat tenderness by reducing Warner-Bratzler Shear Force (WBSF) by 20.40%, with limited effects on other quality traits. Notably, fatty acid profiles and health indices (IA, IT, HH, and HPI) were significantly modulated by the silage × nitrogen interaction. Specifically, the SS diet increased polyunsaturated fatty acids (e.g., LA, EPA, DHA) and achieved a 25.44% higher fish lipid quality (FLQ) value. Crucially, while SRU substitution in the SS diet showed no adverse effects on health value, it detrimentally affected these indices in the CS diet. In conclusion, sweet sorghum silage enhances meat quality and offers superior health benefits, and while SRU improves tenderness, its application requires caution in CS-based diets due to potential negative impacts on nutritional value. Full article
(This article belongs to the Section Meat)
17 pages, 1333 KB  
Article
Functional Properties and Mechanistic Study of Native Starches as Fat Replacers in Low-Fat Pork Sausages
by Lan Gao, Wentao Chen, Zhenhong Lin, Sitong Ye, Hailin Wang, Guoxin Lin, Daohuang Xu, Chengdeng Chi, Leiwen Xiang and Youcai Zhou
Foods 2026, 15(8), 1428; https://doi.org/10.3390/foods15081428 - 20 Apr 2026
Viewed by 294
Abstract
This study systematically evaluated the potential of five native starches, including corn (CS), potato (PS), tapioca (TS), rice (RS), and sweet potato (SPS), as fat replacers in low-fat pork sausages. The obtained results showed that amylose content varied significantly, with PS and SPS [...] Read more.
This study systematically evaluated the potential of five native starches, including corn (CS), potato (PS), tapioca (TS), rice (RS), and sweet potato (SPS), as fat replacers in low-fat pork sausages. The obtained results showed that amylose content varied significantly, with PS and SPS having the highest levels (30.06% and 28.60%, respectively), which were beneficial for forming starch gels. Correspondingly, PS and SPS demonstrated the highest solubility and swelling power. In sausage applications, PS and SPS exhibited superior water-retention capacities, with drying losses of 6.75% and 7.03%, and cooking losses of 2.23% and 2.52%, which were lower than those of the normal control (NC) and low-fat control (LFC) groups. Moreover, the results of texture profile analysis revealed that PS and SPS enabled the sausages to achieve the highest levels of hardness and springiness, contributing to maintaining the moisture retention and toughness of the sausages. Electronic tongue and nose analyses indicated that incorporating these starches did not adversely affect the taste and odor profiles of the sausages, except for RS, which showed distinct flavor encapsulation properties. Overall, PS and SPS served as excellent fat replacers in the meat industry, offering healthier alternatives without compromising product quality. Full article
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19 pages, 3720 KB  
Article
Ozone, Heat Shock, and Microwave Differentially Promote Nutritional Quality and Antioxidant Capacity of Sweet Corn
by Wenhui Xu, Ting Guo, Zhuan Peng, Yuanqing Li, Jian Lou, Fucheng Zhao, Lingling Liu, Yizhou Gao, Longying Pei, Miroslava Kačániová, Zhaojun Ban and Jinghe Sun
Foods 2026, 15(5), 911; https://doi.org/10.3390/foods15050911 - 6 Mar 2026
Viewed by 279
Abstract
In this study, the effects of ozone treatment (O3), heat shock treatment (HS), and microwave treatment (MW) on sensory quality, physicochemical properties, and oxidation levels of sweet corn were systematically investigated during storage. The results demonstrated that three treatments prolonged the [...] Read more.
In this study, the effects of ozone treatment (O3), heat shock treatment (HS), and microwave treatment (MW) on sensory quality, physicochemical properties, and oxidation levels of sweet corn were systematically investigated during storage. The results demonstrated that three treatments prolonged the postharvest quality of sweet corn to varying degrees. Specifically, the O3 group demonstrated the best sensory and appearance characteristics, with its sensory score being 1.18 and 1.38 folds higher than the HS group and MW group, respectively, and significant retardation of color deterioration. In addition, the O3 group effectively maintained the stability and hardness of the starch structure. The weight loss rate of the HS group decreased 0.78-fold compared to the CT group after storage. Moreover, both HS and MW treatments maintained the antioxidant properties of sweet corn, but MW had the limitations of local scalding damage and accelerated deterioration in later quality. The results of this study provide a scientific basis for the optimization and application of postharvest preservation techniques for sweet corn. Full article
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37 pages, 3912 KB  
Review
The Sweetener Innovation 4.0 Manifesto: How AI Is Architecting the Future of Functional Sweetness
by Ali Ayoub
Sustainability 2026, 18(5), 2488; https://doi.org/10.3390/su18052488 - 4 Mar 2026
Viewed by 812
Abstract
Sweeteners occupy a pivotal role in the global transition toward sustainable, health-aligned, and resource-efficient food systems. Conventional sucrose production carries significant environmental burdens, while escalating metabolic health concerns intensify demand for viable alternatives. This paper reframes sweeteners not as commodity ingredients, but as [...] Read more.
Sweeteners occupy a pivotal role in the global transition toward sustainable, health-aligned, and resource-efficient food systems. Conventional sucrose production carries significant environmental burdens, while escalating metabolic health concerns intensify demand for viable alternatives. This paper reframes sweeteners not as commodity ingredients, but as digitally engineered, biologically manufactured, and circularity-optimized materials within the emerging bioeconomy. Advances in artificial intelligence (AI), metabolic engineering, precision fermentation, and lignocellulosic valorization are fundamentally reshaping sweetener innovation. We introduce the Sweetener Innovation 4.0 framework, in which AI functions as the integrative engine linking molecular design, bioprocess optimization, and system-level sustainability. Across diverse sweetener classes, including steviol glycosides, mogrosides, rare sugars, sweet proteins, and forestry-derived polyols, AI accelerates discovery, improves metabolic flux control, optimizes downstream processing and enables more adaptive manufacturing systems. This digital–biological convergence is progressively decoupling sweetness production from land-intensive agriculture, reducing dependence on geographically constrained crops, and enabling resilient, low-carbon manufacturing pathways. Comparative life-cycle assessments highlight substantial sustainability gains, but also reveal persistent methodological gaps, particularly in accounting for downstream-processing energy and digital infrastructure emissions. Socioeconomic analysis further underscores the importance of equitable transitions, transparent labeling, and effective consumer communication as fermentation-derived sweeteners enter global markets. Looking forward, we identify key frontiers for Sweetener Innovation 4.0, including de novo AI-designed sweeteners, autonomous fermentation systems, carbon-negative feedstocks, personalized sweetness modulation, and integrated circular biorefineries. Together, these developments position sweeteners as a top domain for demonstrating how AI, biotechnology, and sustainability principles can jointly reshape ingredient development and industrial systems within the 21st-century circular-economy. Full article
(This article belongs to the Section Sustainable Food)
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16 pages, 6313 KB  
Article
Identification of Candidate Gene Controlling Soluble Sugar Degradation During Postharvest Storage of Sweet Corn Based on BSA-Seq
by Mengyun Ren, Meixing Wang, Dong Wang, Yifeng Huang and Longgang Du
Genes 2026, 17(3), 291; https://doi.org/10.3390/genes17030291 - 27 Feb 2026
Viewed by 492
Abstract
Background/Objectives: Sweetness is a key determinant of the eating quality of sweet corn, primarily governed by the soluble sugar content in kernels. The soluble sugar content decreases rapidly during the postharvest shelf life, which directly affects the flavor and quality. Relatively few [...] Read more.
Background/Objectives: Sweetness is a key determinant of the eating quality of sweet corn, primarily governed by the soluble sugar content in kernels. The soluble sugar content decreases rapidly during the postharvest shelf life, which directly affects the flavor and quality. Relatively few studies have been conducted on the shelf life of sweet corn. Methods: An F6 recombinant inbred line (RIL) population was constructed from two super sweet inbred lines with contrasting soluble sugar degradation rates: D174 (low degradation rate) and D179 (high degradation rate). Extreme phenotype pools were established using soluble sugar content as the target trait. Based on bulked segregant analysis sequencing, we identified chromosomal segments associated with postharvest soluble sugar reduction in sweet corn, annotated the gene information within these segments, and analyzed the functions of the annotated genes using the Gene Ontology and Genomes databases. Results: Results revealed three associated regions located at 44,205,775–45,290,843 bp on chromosome 4, 6,250,656–6,744,665 bp on chromosome 2, and 135,428,709–136,732,132 bp on chromosome 10. This interval contained 195 genes. Integrated analysis of gene expression, gene annotations, and quantitative real-time PCR indicated that Zm00001eb069070, which is highly expressed in kernels with a prolonged shelf life, might be a key candidate gene regulating soluble sugar degradation in sweet corn. Conclusions: This study provides valuable genetic resources for the improvement of favorable agronomic traits and the advancement of molecular breeding strategies for sweet corn. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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21 pages, 6242 KB  
Article
Scenario-Based Optimization of Hybrid Renewable Energy Mixes for Off-Grid Rural Electrification in Laguna, Philippines
by Jose Mari Lit and Takaaki Furubayashi
Energies 2026, 19(4), 936; https://doi.org/10.3390/en19040936 - 11 Feb 2026
Viewed by 702
Abstract
The Philippines, which is rich in natural resources, has significant biomass potential. Among the country’s renewable energy sources, biomass is currently the slowest-growing in terms of power generation. Various types of biomass resources with full or partial use in Laguna Province include bagasse, [...] Read more.
The Philippines, which is rich in natural resources, has significant biomass potential. Among the country’s renewable energy sources, biomass is currently the slowest-growing in terms of power generation. Various types of biomass resources with full or partial use in Laguna Province include bagasse, sweet sorghum, coconut, rice husk, corn cobs, and municipal solid waste. Additionally, the adoption and implementation of HRESs (hybrid renewable energy systems) are mainly achieved through large-scale projects. This paper intentionally showcases highly optimized hybrid configurations for off-grid microgrids to promote rural electrification in Laguna, with a focus on various technoeconomic parameters, specifically the minimization of net present costs and the levelized cost of electricity across all simulations. Each off-grid scenario was compared with scenarios featuring hybrid renewable energy systems incorporating a biomass generator. Laguna, one of the few provinces in the Philippines with all forms of renewable energy systems present, each with high renewable energy potential and renewable fraction values, was selected as the primary study site in this paper. After optimizing and analyzing technoeconomic parameters such as the net present cost and the levelized cost of electricity, a hybrid biomass-solar-wind energy system is proposed to power off-grid areas in Laguna, thereby supporting rural electrification and decarbonization goals. Scenario simulations and comparisons using hybrid optimization demonstrate that adding battery backup systems improves both economic and environmental performance. This paper highlights two key benefits of including a biomass generator: (1) a 17.0% reduction in long-term carbon emissions for the entire system and (2) approximately 9.4% savings in operation and maintenance costs after seven years. The optimization results support the goal of providing Laguna with power through off-grid, decentralized, community-based hybrid renewable energy systems. Full article
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19 pages, 4225 KB  
Article
Identification of Specific Long-Lived mRNAs Associated with Seed Longevity in Sweet Corn Based on RNA-seq
by Zili Zhang, Xinmei Wang, Xiaoni Guan, Yuliang Li, Zhixian Peng, Guangzu Li, Feng Jiang, Qingchun Chen, Faqiang Feng and Pengfei Liu
Agronomy 2026, 16(3), 375; https://doi.org/10.3390/agronomy16030375 - 3 Feb 2026
Viewed by 554
Abstract
Seeds possess long-lived messenger RNAs (mRNAs), some of which are involved in triggering germination and supporting seed longevity. Nevertheless, comprehensive studies on longevity-associated long-lived mRNAs in sweet corn are still scarce. To address this, eight sweet corn inbred lines were subjected to artificial [...] Read more.
Seeds possess long-lived messenger RNAs (mRNAs), some of which are involved in triggering germination and supporting seed longevity. Nevertheless, comprehensive studies on longevity-associated long-lived mRNAs in sweet corn are still scarce. To address this, eight sweet corn inbred lines were subjected to artificial aging (AA) and natural aging (NA). Based on half-inhibition time (ID50), two representative lines—a high-longevity (HL, T7) and a low-longevity (LL, T3) line—were selected. Physiological and biochemical assays revealed significant reductions in superoxide dismutase (SOD) and peroxidase (POD) activities, along with increased malondialdehyde (MDA) content and electrical conductivity, with more severe membrane damage in the LL line. RNA sequencing (RNA-seq) showed a strong correlation in differentially expressed genes (DEGs) between AA and NA. The combined DEGs were enriched in mitogen-activated protein kinase (MAPK) signaling and tryptophan metabolism, while five common long-lived mRNAs, including Zm00001eb157210 and Zm00001eb164610, were consistently downregulated, suggesting their potential role in regulating seed vigor. These findings highlight key molecular players in sweet corn seed longevity. Full article
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24 pages, 1217 KB  
Article
Preliminary Biochemical, Physiological, and Yield Responses of Sweet Corn to Organic and Chemical Fertilization Across Genotypes
by Petru-Liviu Nicorici, Saad Masood Abdelnaby Elhawary, Jose Luis Ordóñez-Díaz, Mónica Sanchez-Parra, Georgiana Rădeanu, Gianluca Caruso, Jose Manuel Moreno-Rojas, Oana-Raluca Rusu, Mihaela Roșca and Vasile Stoleru
Agronomy 2026, 16(3), 313; https://doi.org/10.3390/agronomy16030313 - 26 Jan 2026
Viewed by 862
Abstract
Sweet corn (Zea mays var. saccharata) is a widely cultivated crop valued for its sweet flavor and high nutritional content. Over the past decade, the area devoted to sweet corn grain production has increased substantially, driven by both its nutritional qualities [...] Read more.
Sweet corn (Zea mays var. saccharata) is a widely cultivated crop valued for its sweet flavor and high nutritional content. Over the past decade, the area devoted to sweet corn grain production has increased substantially, driven by both its nutritional qualities and its economic value. In this context, we aimed to evaluate the impact of three genotypes (Royalty F1, Hardy F1 and Deliciosul de Bacau,) under two fertilization types (chemical and organic) compared with a control version on yield, biometrical, biochemical, and quality parameters. This research was carried out between 2022 and 2023 at an experimental station situated in the North-East region of Romania. The results revealed significant influences of cultivar, fertilization method, and the interaction between these two experimental factors on most of the analyzed indicators. Regardless of the fertilization type, the genotype Hardy F1 showed higher levels of photosynthetic activity, polyphenols (2.22 mg/g d.w.) and sucrose (6.7 g/100 g d.w.), leading to greater yield (13,995 kg/ha) than that of Deliciosul de Bacau and Royalty F1. Research on fertilization has shown that sweet corn grains under an organic method have higher levels of lycopene, chlorophyll a, chlorophyll b, total phenolic content (TPC), and fructose. In contrast, chemical fertilization more effectively supported growth, photosynthetic activity, yield, and the content of antioxidants and tannins. Regarding the combined influence of these factors, most of the nutritional characteristics of Royalty F1 were enhanced by organic fertilization, whereas those of the Hardy F1 genotype were improved by chemical fertilization. These findings provide practical guidance for selecting appropriate genotype–fertilization combinations to optimize the yield and nutritional quality of sweet corn and highlight key priorities for further research on sustainable fertilization strategies under climate change conditions. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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22 pages, 6811 KB  
Article
Plant Accumulation of Metals from Soils Impacted by the JSC Qarmet Industrial Activities, Central Kazakhstan
by Bakhytzhan K. Yelikbayev, Kanay Rysbekov, Assel Sankabayeva, Dinara Baltabayeva and Rafiq Islam
Environments 2026, 13(1), 64; https://doi.org/10.3390/environments13010064 - 22 Jan 2026
Cited by 1 | Viewed by 917
Abstract
Metal pollution from metallurgical emissions poses serious environmental and public health risks in Kazakhstan. A replicated pot-culture experiment (n = 4) in a completely randomized design under controlled phytotron conditions evaluated biomass production and metal accumulation in six crop and forage species, alfalfa [...] Read more.
Metal pollution from metallurgical emissions poses serious environmental and public health risks in Kazakhstan. A replicated pot-culture experiment (n = 4) in a completely randomized design under controlled phytotron conditions evaluated biomass production and metal accumulation in six crop and forage species, alfalfa (Medicago sativa), amaranth (Amaranthus spp.), corn (Zea mays), mustard (Brassica juncea), rapeseed (Brassica napus), and sunflower (Helianthus annuus); three ornamental species, purple coneflower (Echinacea purpurea), marigold (Tagetes spp., ‘Tiger Eyes’), and sweet alyssum (Lobularia maritima); and three native wild plants, greater burdock (Arctium lappa), horse sorrel (Rumex confertus), and mug wort (Artemisia vulgaris). Plants were grown in soils collected from the Qarmet industrial zone in Temirtau, central Kazakhstan. Initial soil analysis revealed substantial mixed-metal contamination, ranked as Mn > Ba > Zn > Sr > Cr > Pb > Cu > Ni > B > Co. Mn reached 1059 mg·kg−1, ~50-fold higher than B (22.7 mg·kg−1). Ba (620 mg·kg−1) exceeded FAO/WHO limits sixfold, Zn (204 mg·kg−1) surpassed the lower threshold, and Pb (41.6 mg·kg−1) approached permissible levels, while Cr, Cu, Ni, Co, and Sr were lower. Biomass production varied markedly among species: corn and sunflower produced the highest shoot biomass (126.8 and 60.9 g·plant−1), whereas horse sorrel had the greatest root biomass (54.4 g·plant−1). Root-to-shoot ratios indicated shoot-oriented growth (>1–8) in most species, except horse sorrel and burdock (<1). Metal accumulation was strongly species-specific. Corn and marigold accumulated Co, Pb, Cr, Mn, Ni, Cu, B, and Ba but showed limited translocation (transfer function, TF < 0.5), whereas sunflower, amaranth, and mug wort exhibited moderate to high translocation (TF > 0.8 to <1) for selected metals. Corn is recommended for high-biomass metal removal, marigold for stabilization, sunflower, horse sorrel, and mug wort for multi-metal extraction, and amaranth and coneflower for targeted Co, Ni, and Cu translocation, supporting sustainable remediation of industrially contaminated soils. Full article
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20 pages, 3995 KB  
Article
Role of Starch Type in Gel-like Network Formation of Extruded Meat Analogs
by Chaeyeon Kang, Ayeon Han and Bon-Jae Gu
Gels 2026, 12(1), 94; https://doi.org/10.3390/gels12010094 - 22 Jan 2026
Cited by 2 | Viewed by 614
Abstract
Starches play a crucial role in determining the expansion, texture, and structural development of extruded meat analogs through their gelatinization behavior and interactions with proteins. In this study, corn, pea, tapioca, sweet potato, and potato starches were incorporated into soy protein-based formulations and [...] Read more.
Starches play a crucial role in determining the expansion, texture, and structural development of extruded meat analogs through their gelatinization behavior and interactions with proteins. In this study, corn, pea, tapioca, sweet potato, and potato starches were incorporated into soy protein-based formulations and processed under low-moisture and high-moisture extrusion conditions to investigate starch-dependent physicochemical properties. Amylose/amylopectin composition and starch pasting properties were evaluated, and the resulting extrudates were characterized in terms of expansion behavior, water-related properties, textural attributes, and internal structure. Distinct differences in pasting behavior were observed among starches, with potato starch exhibiting high peak viscosity and pea starch showing strong viscosity development during cooling. These differences were closely associated with extrusion outcomes, influencing expansion ratio and texture formation. In low-moisture extrusion, starches susceptible to thermal and shear degradation showed increased solubilization, whereas in high-moisture extrusion, enhanced starch gelatinization promoted starch–protein interactions and contributed to improved textural integrity and structural alignment. Overall, the results demonstrate that starch type is a key determinant of expansion behavior, texture, and structural organization in extruded meat analogs, highlighting the importance of starch selection and processing conditions for tailoring product quality. Full article
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17 pages, 5179 KB  
Article
Optimizing Planting Density and Nitrogen Application Enhances Root Lodging Resistance and Yield via Improved Post-Anthesis Light Distribution in Sweet Corn
by Hailong Chang, Hongrong Chen, Jianqiang Wang, Qingdan Wu, Bangliang Deng, Yuanxia Qin, Shaojiang Chen and Qinggan Liang
Plants 2026, 15(2), 200; https://doi.org/10.3390/plants15020200 - 8 Jan 2026
Viewed by 587
Abstract
Context: Optimizing nitrogen application and planting density is critical for achieving high yields and increasing lodging resistance in crops. However, the agronomic mechanisms underlying these benefits remain unclear. Objectives: This study aimed to elucidate the relationships among light distribution within the canopy, photosynthetic [...] Read more.
Context: Optimizing nitrogen application and planting density is critical for achieving high yields and increasing lodging resistance in crops. However, the agronomic mechanisms underlying these benefits remain unclear. Objectives: This study aimed to elucidate the relationships among light distribution within the canopy, photosynthetic capacity, root architecture, yield, and lodging resistance in sweet corn. Methods: A two-year field experiment (2024–2025) was conducted using a split-plot design with two factors: nitrogen application levels as main plots (namely, N150 and N200; 150 kg/ha and 200 kg/ha, respectively) and three planting densities as sub-plots (D20, D25, and D30, representing plant spacing of 20 cm, 25 cm, and 30 cm, respectively, with a fixed row spacing of 80 cm). Results: At a given planting density, N150-treated plants exhibited significantly enhanced basal stem node strength and root architecture compared to those treated with N200. These improvements were closely associated with the increase in light interception rate (IR) into the lower canopy under N150. Consequently, root-lodging resistance increased, reducing the root lodging rate by 80.82% (7.32% vs. 13.21% under N200). Due to these advantages, the average yield of N150-treated plants was higher than that of N200-treated plants (+3.16%). Notably, increasing planting density emerged as the primary factor driving ear yield improvement, with the highest yield observed under the N150D20 group plants, which can reach ~29 t/ha. Conclusion: Coordinating nitrogen input with appropriate planting density improves vertical light distribution, particularly in the middle and lower canopy, thereby strengthening the basal stem and root systems and enhancing root lodging resistance and yield. Implication: These findings offer practical guidance for achieving high sweet corn yields by integrating canopy light management with optimized nitrogen application and planting density, and provide scientific guidance on “smart canopy” selection for sweet corn breeding. Full article
(This article belongs to the Section Crop Physiology and Crop Production)
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14 pages, 3909 KB  
Article
Genetic Dissection of Carotenoid Variation by Integrating Quantitative Trait Loci Mapping and Candidate Region Association Study in Sweet Corn
by Yingjie Zhao, Jingtao Qu, Wei Gu, Diansi Yu, Hui Wang, Zhonglin Zhang, Felix San Vicente Garcia, Mengxia Yang, Xiaoyu Sun, Hongjian Zheng and Yuan Guan
Plants 2026, 15(1), 50; https://doi.org/10.3390/plants15010050 - 23 Dec 2025
Viewed by 669
Abstract
Sweet corn is widely cultivated and valued for its palatability and nutritional quality, with kernels accumulating substantial carotenoids, which serve as essential antioxidants and vitamin A precursors. This study elucidated the genetic basis of carotenoid variation in sweet corn kernels by integrating quantitative [...] Read more.
Sweet corn is widely cultivated and valued for its palatability and nutritional quality, with kernels accumulating substantial carotenoids, which serve as essential antioxidants and vitamin A precursors. This study elucidated the genetic basis of carotenoid variation in sweet corn kernels by integrating quantitative trait loci (QTL) mapping with a candidate region association study. Seven carotenoid-related traits were quantified in a recombinant inbred line (RIL) population and its parental lines. QTL mapping based on a high-density genotyping-by-target sequencing (GBTS) map and BLUE values across two environments identified 15 loci on chromosomes 5, 6, 7, 8, and 9, explaining 3.83–17.25% of the phenotypic variance. Notably, chromosome 6 harbored a cluster of major-effect QTLs regulating β-cryptoxanthin, zeaxanthin, lutein, total carotenoids, and provitamin A contents. A regional association study within these linkage-defined intervals detected 71 significant SNPs (Bonferroni p < 1/n) and identified Zm00001d036238, encoding a GDSL esterase/lipase, as a strong candidate gene associated with β-cryptoxanthin accumulation. This gene exhibited kernel-specific expression in the endosperm and harbored a downstream cis-variant (Chr6: 78,466,427) correlated with increased carotenoid content. Allelic effect analysis indicated that the A/A genotype conferred markedly higher β-cryptoxanthin levels than other genotypes. Collectively, these findings provide valuable genetic resources for marker-assisted selection and biofortification breeding to enhance the nutritional quality of sweet corn. Full article
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19 pages, 1919 KB  
Article
Selenium Content in Staple Crops and Drinking Water and Associated Health Risk Assessment: A Case Study of a Selenium-Rich Region in Southern Shaanxi, China
by Yangchun Han, Litao Hao, Shixi Zhang, Kunli Luo, Lijun Zhang and Weiqiang Chen
Foods 2026, 15(1), 31; https://doi.org/10.3390/foods15010031 - 22 Dec 2025
Viewed by 697
Abstract
To study the selenium (Se) content and dietary risk in typical Se-rich regions (the soil Se thresholds were as follows: high Se at 0.4–3.0 mg/kg and excessive Se at >3.0 mg/kg), the northern of Langao County, Ankang City, Shaanxi Province was studied. Contents [...] Read more.
To study the selenium (Se) content and dietary risk in typical Se-rich regions (the soil Se thresholds were as follows: high Se at 0.4–3.0 mg/kg and excessive Se at >3.0 mg/kg), the northern of Langao County, Ankang City, Shaanxi Province was studied. Contents of Se in crops and drinking water were analyzed. The average Se contents in drinking water was 12.32 μg/L in the excessive-Se and 13.50 μg/L in the high-Se areas. Corn, rice, sweet potato, and eggplant exhibited the highest average Se contents in the excessive-Se area, while potato and radish showed the highest levels in the high-Se area. Adults (and children) living in excessive-Se areas had a mean daily Se intake of 598 (305) μg/day, and those in high-Se areas had an intake of 536 (275) μg/day. Although crops were the main dietary source of Se, the contribution of drinking water, particularly for children, should not be overlooked as an additional source of Se intake. The average hazard quotients of adults (children) from excessive-Se and high-Se areas were 1.77 (1.95) and 1.58 (1.76), respectively. Therefore, there are non-carcinogenic health risks for humans in the two regions. Full article
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